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The use of Search-Based Software Engineering (SBSE) for optimizing software architecture has evolved from fully automated to interactive approaches, integrating human expertise. However, current interactive tools face limitations: they typically support only single decision-makers, confine architects to passive roles, and induce significant cognitive fatigue from repetitive evaluations. These issues disconnect them from modern, team-based software development, where collaboration and consensus are crucial. To address these shortcomings, we propose "ArchEvolve," a novel framework designed to facilitate collaborative, multi-architect decision-making. ArchEvolve employs a cooperative coevolutionary model that concurrently evolves a population of candidate architectures and distinct populations representing each architect's unique preferences. This structure guides the search towards high-quality consensus solutions that accommodate diverse, often conflicting, stakeholder viewpoints. An integrated Artificial Neural Network (ANN) serves as a preference learning module, trained on explicit team feedback to act as a surrogate evaluator. This active learning cycle substantially reduces the number of required human interactions and alleviates user fatigue. Empirical evaluation on two industrial case studies (E-Commerce System and Healthcare Management System) compared ArchEvolve to a state-of-the-art interactive baseline. Results indicate that ArchEvolve achieves statistically significant improvements in both solution quality and consensus-building. The preference learning module demonstrated over 90% accuracy in predicting team ratings and reduced human evaluations by up to 46% without compromising final solution quality. ArchEvolve provides a practical, scalable framework supporting collaborative, consensus-driven architectural design, making interactive optimization a more viable and efficient tool for real-world software engineering teams by intelligently integrating cooperative coevolutionary search with a preference learning surrogate.

Micro, Small, and Medium Enterprises (MSMEs) play a vital role in the economy but still face challenges in utilizing digital technology for marketing. Shofi Cookies, as the partner of this program, has been using TikTok and a website, yet their utilization remains suboptimal. This community service activity aimed to enhance the partner’s digital capacity through social media analysis, website audits, and digital branding training. The methods included evaluating the TikTok account, auditing the website’s Search Engine Optimization (SEO), and providing training on the use of WordPress Content Management System (CMS) along with branding strategies. The results showed that the TikTok account was still personal, limiting analytic data, while the website audit produced a C- SEO score with issues in mobile access speed. The training, attended by the owner and operator, received positive responses with high satisfaction, although participants’ understanding still needs improvement. The implication of this activity highlights the importance of follow-up actions such as switching to a TikTok business account, increasing content upload consistency, and optimizing website SEO. With these efforts, Shofi Cookies is expected to strengthen competitiveness, expand market reach, and increase sales in the digital era.

This research explores the effectiveness of heuristic techniques for solving combinatorial optimization problems, with a particular focus on the Traveling Salesman Problem (TSP). Combinatorial optimization is a critical area of study, especially in fields like computer science, engineering, and economics, where finding optimal solutions from a finite set of possibilities is crucial. However, the NP-hard nature of many combinatorial problems, such as the TSP, makes traditional exact methods like Branch-and-Bound and Dynamic Programming computationally expensive and inefficient for larger problem sizes. The primary objective of this research is to evaluate the performance of heuristic methods, including Simulated Annealing (SA), Genetic Algorithms (GA), and Iterative Computation techniques, such as Tabu Search (TS) and Particle Swarm Optimization (PSO). These methods are tested for their ability to provide approximate solutions efficiently. The findings reveal that while ACO provided the best solution quality, it had the longest runtime. TS was the fastest, though with slightly lower solution quality. SA and GA demonstrated a balance between solution quality and computational efficiency, but their performance heavily depended on parameter tuning. The hybridization of SA and GA showed potential for improving solution quality but introduced additional complexity. The research concludes that heuristic methods, especially when combined, offer viable solutions for large-scale combinatorial optimization problems, though the trade-off between solution quality and computational time must be considered when selecting an algorithm.

This research uses a qualitative method to explore the role of digital marketing skills in enhancing the competitiveness of Islamic banking institutions in the era of digital transformation. The rapid development of information technology requires financial institutions, including Islamic banks, to adapt to digital-based marketing strategies to remain competitive in the market. Digital marketing skills such as social media management, search engine optimization (SEO), content marketing, and digital data analysis have become essential in effectively reaching customers and building strong brand awareness. This study was conducted through in-depth interviews with Islamic banking practitioners and analysis of documentation related to digital marketing strategies. The findings reveal that mastering digital marketing skills significantly helps Islamic banking institutions expand their market reach, improve customer engagement, and strengthen their competitive position in the financial industry. Moreover, the proper implementation of digital marketing also enhances promotional cost efficiency and encourages product and service innovation based on customer needs. These findings serve as a vital reference in developing more relevant Islamic marketing strategies for the current era.

The Community Service Program titled “Digital-Based Entrepreneurship Empowerment Socialization to Improve the Economic Welfare of the Community in RW 008, RW 017, and RW 018, Benda Baru Housing Complex, Pamulang – South Tangerang” aims to enhance digital literacy and technology-based entrepreneurial skills among local communities, particularly Micro, Small, and Medium Enterprises (MSMEs). This program includes socialization, training, and practical mentoring related to the utilization of social media, e-commerce, Search Engine Optimization (SEO)/Search Engine Marketing (SEM), and digital advertising strategies as tools for business development. The method employed is participatory, actively involving the community in every stage of the program. The results indicate an improvement in community understanding of digital technology and their ability to leverage digital platforms to support their businesses. This program has also successfully created a sustainable digital entrepreneurship ecosystem, which is expected to enhance the economic welfare of the targeted communities. Given its success, this initiative is anticipated to serve as a model for digital-based community empowerment that can be implemented in other regions.

The increasing competition among higher education institutions necessitates effective marketing strategies to build brand awareness. Digital marketing has become a crucial tool in achieving this goal. This study aims to analyze the role of digital marketing in enhancing brand awareness in higher education institutions. The research method employed is a literature review, gathering and analyzing various relevant sources, including scientific journals, books, and previous research reports. The results indicate that implementing digital marketing strategies, such as the use of social media, content marketing, and search engine optimization (SEO), significantly contributes to the enhancement of brand awareness in higher education institutions. Moreover, active interaction and relevant content on digital platforms can increase audience engagement and loyalty. The implications of this study highlight the importance for higher education institutions to integrate digital marketing into their communication strategies to expand reach and strengthen brand image in the public eye.

In the era of globalization, Micro, Small, and Medium Enterprises (MSMEs) face increasingly complex challenges, especially in maintaining competitiveness in local and global markets. Digital marketing is one of the key strategies that can help MSMEs take advantage of technological developments to expand market reach, increase interaction with customers, and create a competitive advantage. This study aims to analyze the importance of implementing digital marketing strategies for MSMEs in increasing their competitiveness. The method used involves literature studies and case studies on MSMEs that have successfully implemented digital marketing strategies. The results of the study show that digital marketing strategies, such as the use of social media, search engine optimization (SEO), and data-driven marketing, are able to increase brand visibility, operational efficiency, and customer loyalty. Thus, digital marketing is not only a promotional tool, but also as an innovative solution to support the growth of MSMEs in the digital era. The adoption of this strategy requires adequate knowledge, skills, and technological adaptation so that MSMEs can survive and thrive in the midst of global competition.

Digital marketing has become a critical element in promoting tourism destinations, particularly in attracting young tourists who are highly connected to technology. Sawarna Village in Lebak Regency, Banten, holds significant natural tourism potential, such as beaches and caves, but faces challenges in implementing promotional strategies that align with the digital behavior of the younger generation. This study employs a literature review method to analyze effective digital marketing strategies, focusing on social media, visual content, and influencer engagement. The analysis reveals that creative use of social media, a visual storytelling approach, and collaboration with micro-influencers can enhance the appeal of tourism destinations. Additionally, search engine optimization (SEO) and location-based marketing campaigns play a vital role in improving Sawarna Village's visibility on digital platforms. This study recommends digital skill training for the local community to support destination promotion and foster digital transformation in the rural tourism sector. These findings emphasize the importance of technology-driven marketing strategies to enhance the competitiveness of rural tourism destinations in Indonesia.